A comparative study to benchmark cross-project defect prediction approaches

Steffen Herbold, Alexander Trautsch, Jens Grabowski

Full text DOI 10.1145/3180155.3182542 dblp

Abstract

Cross-Project Defect Prediction (CPDP) as a means to focus quality assurance of software projects was under heavy investigation in recent years. However, within the current state-of-the-art it is unclear which of the many proposals performs best due to a lack of replication of results and diverse experiment setups that utilize different performance metrics and are based on different underlying data. Within this article [2, 3], we provide a benchmark for CPDP. Our benchmark replicates 24 CPDP approaches proposed by researchers between 2008 and 2015. Through our benchmark, we answer the following research questions:

BibTeX

@inproceedings{Herbold-al:ICSE18,
  author    = {Steffen Herbold and
               Alexander Trautsch and
               Jens Grabowski},
  title     = {A comparative study to benchmark cross-project defect prediction approaches},
  booktitle = {ICSE},
  pages     = {1063},
  publisher = {{ACM}},
  year      = {2018},
}

A comparative study to benchmark cross-project defect prediction approaches

Abstract

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